class_docstr: Base class for text encoder
class_docstr_tok: ["Base","class","for","text","encoder"]
code: def get_trainable_parameters(
      self,
      weight_decay: Optional[float] = 0.0,
      no_decay_bn_filter_bias: Optional[bool] = False,
      *args,
      **kwargs,
  ):
      param_list = parameter_list(
          named_parameters=self.named_parameters,
          weight_decay=weight_decay,
          no_decay_bn_filter_bias=no_decay_bn_filter_bias,
          *args,
          **kwargs,
      )
      return param_list, [1.0] * len(param_list)
  
file_path: ml-cvnets/cvnets/text_encoders/base_text_encoder.py
imports: import argparse
  from typing import Any, Dict, Optional
  import torch
  from torch import Tensor, nn
  from cvnets import parameter_list
  from cvnets.layers import norm_layers_tuple
  from cvnets.misc.init_utils import initialize_weights
  from utils import logger
  from utils.ddp_utils import is_master
label_desc: Use image node_id 4 for calling the BaseTextEncoder obj's underlying member method code with example usage: obj.get_trainable_parameters(weight_decay, no_decay_bn_filter_bias) and returns: param_list,  unknown